Spillover analysis across FinTech,ESG, and renewable energy indices before and during the Russia–Ukraine war: International evidence

This study is epicentral to analyze the impact of the Russia–Ukraine war on the financial markets, specifically focusing on the connectedness and spillover dynamics of FinTech, Environmental, Social, and Governance (ESG), renewable energy, gold, and Morgan Stanley Capital International (MSCI) indices in developed and emerging countries. Data are collected from Thomson Reuters, ranging from May 8, 2020, to May 11, 2022, and a time-varying parameter vector autoregression (TVP-VAR) and the dynamic conditional correlation (DCC) generalized autoregressive conditional heteroskedasticity (GARCH) t-Copula (DCC-GARCH t-Copula) are used to analyze the data. The results show that FinTech, ESG, and MSCI are net transmitters in developed countries, whereas gold and renewable energy are net receivers pre- and during war periods. ESG and MSCI are net transmitters in emerging countries, while FinTech, renewable energy, and gold become net receivers in both periods. The hedging ratio sheds light on the costs and weights of efficient pair investments that might change in the context of each region and under the combined scenario. The study has important implications for merchant bankers, policymakers, investors, hedgers, and risk managers.     

Years of life lost to revolution and war in Iran

How was life expectancy in Iran affected by the Islamic Revolution and subsequent war with Iraq? This study examines the joint effect of regime change and the war against Iraq on life expectancy in Iran between 1978 and 1988. If there had been no revolution and war in Iran, how would the life expectancy of Iranians have developed? To answer this question, we use a synthetic control model to construct a counterfactual Iran based on a weighted average of other comparable countries, which reproduces the situation of pre-revolution Iran but does not experience the revolution and war. We then compare the life expectancies of the counterfactual and actual Iran that underwent a regime change and war with Iraq. Our results indicate that an average Iranian's total life expectancy would have been approximately five years longer without the revolution and war. The revolution had a moderate long-term impact on total life expectancy at birth, with the most significant influence being attributed to the war itself, particularly on male life expectancy. Our main findings are robust to a series of tests, including placebo tests. We investigate possible reasons that may explain the impact on longevity.     

The exploratory war‐distorted destination life cycle

The theoretical impact of a large conventional modern war upon a tourist destination is considered within the context of destination life‐cycle dynamics. When the resultant war‐distorted curve is compared against Butler's S‐curve, a demand deficit is apparent in the early phases of the model. After about 30 years, the conversion of battle sites into attractions, and the return of veterans as visitors, results in a demand surplus. This ‘war dividend’ then continues for an indefinite period into the future. The proposed model is accompanied by a series of relevant corollaries that take into account magnitude, as well as spatial and temporal variations in the possible war scenarios. Copyright © 2000 John Wiley & Sons, Ltd.     

Trade dependence and stock market reaction to the Russia-Ukraine war

Using data from 83 countries, we show that the decline in the value of stock market indices in response to the Russia-Ukraine war was sharper in countries that have stronger trade ties (both exports and imports) with Russia and Ukraine. We also find the relationship between trade dependency and market drop is weaker in countries with more trade openness.     

The Russia–Ukraine conflict and investor psychology in financial markets

This study examines the effect of the Russia–Ukraine conflict on global financial markets and the resulting changes in investor psychology. We have analysed weekly data from January 2021 to March 2023, including indicators such as gross national income, Bitcoin historical price, Standard and Poor 500 index, US consumer price index, US dollar index, and investor psychology index, using a variety of econometric techniques. Our findings reveal a positive and significant correlation between investor psychology and market returns. These results highlight the importance of monitoring investor psychology during times of conflict as it can greatly impact investment decisions in financial markets, providing valuable insights for investors and policymakers.     

The 2020 US Presidential election and Trump’s wars on trade and health insurance

The trade war initiated by the Trump administration is the largest since the US imposed the Smoot-Hawley tariffs in the 1930s and was still raging when he left office. We analyze how the trade war impacted the 2020 US Presidential election. Our results highlight the political salience of the trade war: US trade war tariffs boosted Trump’s support but foreign retaliation hurt Trump. In particular, the pro-Trump effects of US trade war tariffs were crucial for Trump crossing the recount thresholds in Georgia and Wisconsin. Even more important politically, voters abandoned Trump in counties with large expansions of health insurance coverage since the Affordable Care Act, presumably fearing the roll-back of such expansion. Absent this anti-Trump effect, Trump would have been on the precipice of re-election by winning Georgia, Arizona, Nevada, and only losing Wisconsin by a few thousand votes. These effects of the trade war and health insurance coverage expansion cross political and racial lines, suggesting the mechanism operates through the impact on local economies rather than political polarization.